{"id":"https://openalex.org/W3090085905","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207411","title":"Exploiting Residual Edge Information in Deep Fully Convolutional Neural Networks For Retinal Vessel Segmentation","display_name":"Exploiting Residual Edge Information in Deep Fully Convolutional Neural Networks For Retinal Vessel Segmentation","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3090085905","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207411","mag":"3090085905"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Exploiting_Residual_Edge_Information_in_Deep_Fully_Convolutional_Neural_Networks_For_Retinal_Vessel_Segmentation/20687140","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055990973","display_name":"Tariq M. Khan","orcid":"https://orcid.org/0000-0002-7477-1591"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Tariq M. Khan","raw_affiliation_strings":["Faculty of Sci Eng & Built Env, School of Info Technology, Deakin University, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of Sci Eng & Built Env, School of Info Technology, Deakin University, Victoria, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014712593","display_name":"Syed S. Naqvi","orcid":"https://orcid.org/0000-0002-6335-3538"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Syed S. Naqvi","raw_affiliation_strings":["Division of Electronics and Electrical Engineering, Dongguk University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Division of Electronics and Electrical Engineering, Dongguk University, Seoul, Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080344855","display_name":"Muhammad Arsalan","orcid":"https://orcid.org/0000-0003-1868-5207"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Muhammad Arsalan","raw_affiliation_strings":["Computing and Communications, Lancaster University, Lancaster, UK"],"affiliations":[{"raw_affiliation_string":"Computing and Communications, Lancaster University, Lancaster, UK","institution_ids":["https://openalex.org/I67415387"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101091466","display_name":"Muhamamd Aurangzeb Khan","orcid":null},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhamamd Aurangzeb Khan","raw_affiliation_strings":["Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad, Pakistan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014584728","display_name":"Haroon Ahmed Khan","orcid":"https://orcid.org/0000-0002-0335-1119"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Haroon A. Khan","raw_affiliation_strings":["Division of Electronics and Electrical Engineering, Dongguk University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Division of Electronics and Electrical Engineering, Dongguk University, Seoul, Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050153883","display_name":"Adnan Haider","orcid":"https://orcid.org/0000-0003-2240-2708"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Adnan Haider","raw_affiliation_strings":["Division of Electronics and Electrical Engineering, Dongguk University, Seoul, Korea"],"affiliations":[{"raw_affiliation_string":"Division of Electronics and Electrical Engineering, Dongguk University, Seoul, Korea","institution_ids":["https://openalex.org/I205490536"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5055990973"],"corresponding_institution_ids":["https://openalex.org/I149704539"],"apc_list":null,"apc_paid":null,"fwci":2.0072,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.89395458,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11438","display_name":"Retinal Imaging and Analysis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10170","display_name":"Retinal Diseases and Treatments","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/2731","display_name":"Ophthalmology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7722429037094116},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7512316703796387},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7249549031257629},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6281136274337769},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.5956186652183533},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5717357397079468},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5281776785850525},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.515175461769104},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.4978973865509033},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.49326080083847046},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.45737481117248535},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1213366687297821},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08031576871871948}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7722429037094116},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7512316703796387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7249549031257629},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6281136274337769},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.5956186652183533},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5717357397079468},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5281776785850525},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.515175461769104},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.4978973865509033},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.49326080083847046},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.45737481117248535},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1213366687297821},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08031576871871948},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:dro.deakin.edu.au:DU:30143987","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401102","display_name":"Own your potential (DEAKIN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149704539","host_organization_name":"Deakin University","host_organization_lineage":["https://openalex.org/I149704539"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"},{"id":"pmh:oai:figshare.com:article/20687140","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Exploiting_Residual_Edge_Information_in_Deep_Fully_Convolutional_Neural_Networks_For_Retinal_Vessel_Segmentation/20687140","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20687140","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Exploiting_Residual_Edge_Information_in_Deep_Fully_Convolutional_Neural_Networks_For_Retinal_Vessel_Segmentation/20687140","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W1901129140","https://openalex.org/W1905829557","https://openalex.org/W1974954013","https://openalex.org/W2010965043","https://openalex.org/W2033723371","https://openalex.org/W2034513030","https://openalex.org/W2045227075","https://openalex.org/W2049822456","https://openalex.org/W2051578148","https://openalex.org/W2109037308","https://openalex.org/W2115680416","https://openalex.org/W2116628223","https://openalex.org/W2145305441","https://openalex.org/W2150769593","https://openalex.org/W2163344010","https://openalex.org/W2170092083","https://openalex.org/W2171459511","https://openalex.org/W2206167351","https://openalex.org/W2320230300","https://openalex.org/W2327793514","https://openalex.org/W2488605601","https://openalex.org/W2556022279","https://openalex.org/W2565139801","https://openalex.org/W2607941059","https://openalex.org/W2617945389","https://openalex.org/W2622875757","https://openalex.org/W2762941258","https://openalex.org/W2791643320","https://openalex.org/W2792348955","https://openalex.org/W2794329395","https://openalex.org/W2802388893","https://openalex.org/W2886433032","https://openalex.org/W2923997689","https://openalex.org/W2952916216","https://openalex.org/W2963881378","https://openalex.org/W2982297179","https://openalex.org/W2984146701","https://openalex.org/W2986274801","https://openalex.org/W2987039128","https://openalex.org/W2991564428","https://openalex.org/W3001014289","https://openalex.org/W3008700480","https://openalex.org/W6638667902","https://openalex.org/W6767634436"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2140186469","https://openalex.org/W2607795551","https://openalex.org/W2281134365","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W4280563792","https://openalex.org/W4318719684","https://openalex.org/W4318559728"],"abstract_inverted_index":{"Accurate":[0],"automatic":[1],"segmentation":[2,58],"of":[3,14,25,36,95,127],"the":[4,26,34,81,86,103,109,119],"retinal":[5,16],"vessels":[6],"is":[7,31,122],"crucial":[8],"for":[9,56,83,111],"early":[10],"detection":[11,120],"and":[12,42,63,98,105,113,130,135],"diagnosis":[13],"vision-threatening":[15],"diseases.":[17],"A":[18],"new":[19],"supervised":[20],"method":[21],"using":[22],"a":[23,91],"variant":[24],"fully":[27,51],"convolutional":[28,52],"neural":[29],"network":[30],"pro-posed":[32],"with":[33,125],"advantages":[35],"reduced":[37,39],"hyper-parameters,":[38],"computational/memory":[40],"requirements,":[41],"robust":[43],"performance":[44],"in":[45,65,90],"capturing":[46],"tiny":[47],"vessel":[48,57],"information.":[49],"The":[50],"architectures":[53],"previously":[54],"employed":[55],"have":[59],"multiple":[60],"tunable":[61,96],"hyperparameters":[62],"difficulty":[64],"end-to-end":[66],"training":[67],"due":[68],"to":[69],"their":[70],"decoder":[71,87],"structure.":[72],"We":[73],"resolve":[74],"this":[75],"problem":[76],"by":[77],"sharing":[78],"information":[79],"from":[80],"encoder":[82],"upsampling":[84],"at":[85,102],"stage,":[88],"resulting":[89],"significantly":[92,123],"smaller":[93],"number":[94],"parameters":[97],"low":[99],"computational":[100],"overhead":[101],"train":[104],"test":[106],"stages.":[107],"Moreover,":[108],"need":[110],"pre-":[112],"post-processing":[114],"steps":[115],"are":[116],"eradicated.":[117],"Consequently,":[118],"accuracy":[121],"improved":[124],"scores":[126],"0.9620,":[128],"0.9623,":[129],"0.9620":[131],"on":[132],"DRIVE,":[133],"STARE,":[134],"CHASE_DB1":[136],"datasets":[137],"respectively.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}